The definition of journal acceptance rate is the percentage of all articles submitted to Molecular Systems Biology that was accepted for publication. Based on the Journal Acceptance Rate Feedback System database, the latest acceptance rate of Molecular Systems Biology is 50.0%.
Applied Mathematics 99%
|General Immunology and Microbiology||1||4/45||
General Immunology and Microbiology 92%
|General Biochemistry,Genetics and Molecular Biology||1||11/197||
General Biochemistry,Genetics and Molecular Biology 94%
|General Agricultural and Biological Sciences||1||3/203||
General Agricultural and Biological Sciences 98%
Annual Publication Volume
Publication Volume Dataset
Molecular Systems Biology | Acceptance Rate
The acceptance rate for an academic journal is dependent upon the relative demand for publishing in a particular journal, the peer review processes in place, the mix of invited and unsolicited submissions, and time to publication, among others. As such, it may be a proxy for perceived prestige and demand as compared to availability. However, locating acceptance rates for individual journals or for specific disciplines can be difficult, yet is necessary information for promotion and tenure activities. Journals with lower article acceptance rates are frequently considered to be more prestigious and more “meritorious”. As an internal benchmark, most journals will not publish their acceptance rates on their website. From their perspective, a consistently low acceptance rate may prove to be a deterrent to future submissions. Moreover, the method of calculating acceptance rates varies among journals. Some journals use all manuscripts received as a base for computing this rate. Other journals allow the editor to choose which papers are sent to reviewers and calculate the acceptance rate on those that are reviewed that is less than the total manuscripts received. Also, many editors do not maintain accurate records on this data and provide only a rough estimate.
Journal Acceptance Rate Feedback System
Journal Acceptance Rate Feedback System provides an open, transparent, and straightforward platform to help academic researchers support informed decisions through the wisdom of crowds. Academic Accelerator displays the exact community-driven data without secret algorithms, hidden factors, or systematic delay. Let us improve the transparency of peer-review process together!
Systems biology is an integrative discipline that seeks to explain the properties and behaviour of complex biological systems in terms of their components and their interactions.Molecular Systems Biology is a peer-reviewed open access journal that publishes high-quality research in the fields of systems biology, synthetic biology and systems medicine.The Editors select manuscripts based on their novelty and wide biological significance. Although the primary emphasis of the journal is on molecular components and their interactions, systems studies at the organ level may also be considered. Works describing large-scale datasets will be judged, in part, by the extent to which these datasets are integrated both with each other and with computational models, with the ultimate aim to better understand the dynamic and complex nature of living systems. Reports of new experimental methods will also be considered in the context of this policy.Topics falling within the scope of the journal include, but are not limited to:- integrative genome-scale biology - quantitative biology- computational biology - metabolic and regulatory networks - evolution of genomes and biological networks- clinical and translational systems biology - synthetic biology and genome-scale biological engineering- Molecular Systems Biology publishes research articles as full-length Articles or short Reports. The journal also publishes Methods, Reviews, News & Views, Correspondences and Editorials. Molecular Systems Biology is a peer-reviewed open-access scientific journal covering systems biology at the molecular level (examples include: genomics, proteomics, metabolomics, microbial systems, the integration of cell signaling and regulatory networks), synthetic biology, and systems medicine. It was established in 2005 and published by the Nature Publishing Group on behalf of the European Molecular Biology Organization. As of December 2013, it is published by EMBO Press.